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1000 results for “sanjay_ankur”
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Dendritic arbors structure memories: Synapses on different dendritic domains store distinct types of information
#Neuroscience #SynapticPlasticity #Learning #AcademicChatter
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Made a few updates and released a new version of #calliope , a #bash script based utility to write a journal using #LaTeX. Since it's #LaTeX based, you can pretty much add whatever you wish to your journal---images, other PDFs, beautiful maths, and of course, you can customise it as you wish to suit your needs. It's all managed by #Git and if you'd like you can encrypt your journal entries using #gpg
Check it out on #GitHub : https://github.com/sanjayankur31/calliope
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Woah, absolutely well done #JamieLaing!!! #ultramarathon #UK #ComicRelief
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Standardized measurements for monitoring and comparing multiphoton microscope systems | Nature Protocols:
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If you're using a #QT #Webengine based browser like me (@qutebrowser or #Falkon), #Elsevier 's #ScienceDirect website may cause issues because they "only support the last 3 releases" of most browsers. Luckily, they use the user agent to detect the browser. So, a workaround is to use something like this, with a new enough version for the #Chrome version:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/6.8.2 Chrome/132.0.0.0 Safari/537.36
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Note to self: a #Kanban board is NOT a uni-directional pipeline!! It's OK for stuff to go from "WIP" back to "Ready" or "Backlog" #AcademicChatter #ProjectPlanning
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Note to self: a #Kanban board is NOT a uni-directional pipeline!! It's OK for stuff to go from "WIP" back to "Ready" or "Backlog" #AcademicChatter #ProjectPlanning
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Note to self: a #Kanban board is NOT a uni-directional pipeline!! It's OK for stuff to go from "WIP" back to "Ready" or "Backlog" #AcademicChatter #ProjectPlanning
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Note to self: a #Kanban board is NOT a uni-directional pipeline!! It's OK for stuff to go from "WIP" back to "Ready" or "Backlog" #AcademicChatter #ProjectPlanning
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Note to self: a #Kanban board is NOT a uni-directional pipeline!! It's OK for stuff to go from "WIP" back to "Ready" or "Backlog" #AcademicChatter #ProjectPlanning
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.
Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.
https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code
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@sls We set up a "planet" (blog aggregator) for #neuroscience feeds here as part of the #NeuroFedora initiative and we keep adding any blogs that we find interesting/relevant. You'd probably find a few new ones there (and please also suggest new ones for us to add):
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Please see the paper for more details, and whether you’d like to use #NeuroML in your work, or support NeuroML in your tools/modelling pipelines, please come speak to us on any of our communication channels. Full documentation on NeuroML is here at https://docs.neuroml.org 9/9
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Please see the paper for more details, and whether you’d like to use #NeuroML in your work, or support NeuroML in your tools/modelling pipelines, please come speak to us on any of our communication channels. Full documentation on NeuroML is here at https://docs.neuroml.org 9/9
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Please see the paper for more details, and whether you’d like to use #NeuroML in your work, or support NeuroML in your tools/modelling pipelines, please come speak to us on any of our communication channels. Full documentation on NeuroML is here at https://docs.neuroml.org 9/9
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Please see the paper for more details, and whether you’d like to use #NeuroML in your work, or support NeuroML in your tools/modelling pipelines, please come speak to us on any of our communication channels. Full documentation on NeuroML is here at https://docs.neuroml.org 9/9
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#NeuroML is a global community initiative. It is developed by an elected Editorial Board and overseen by a Scientific Committee. All the software/documentation/models produced in NeuroML are completely Free/Open. In this way, NeuroML supports #FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, thus promoting open, transparent and reproducible science. 8/x
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#NeuroML is a global community initiative. It is developed by an elected Editorial Board and overseen by a Scientific Committee. All the software/documentation/models produced in NeuroML are completely Free/Open. In this way, NeuroML supports #FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, thus promoting open, transparent and reproducible science. 8/x
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#NeuroML is a global community initiative. It is developed by an elected Editorial Board and overseen by a Scientific Committee. All the software/documentation/models produced in NeuroML are completely Free/Open. In this way, NeuroML supports #FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, thus promoting open, transparent and reproducible science. 8/x
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#NeuroML is a global community initiative. It is developed by an elected Editorial Board and overseen by a Scientific Committee. All the software/documentation/models produced in NeuroML are completely Free/Open. In this way, NeuroML supports #FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, thus promoting open, transparent and reproducible science. 8/x
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#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x
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#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x
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#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x
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#NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x
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You can also create new model elements if existing ones aren’t enough AND because #NeuroML is designed to be modular and hierarchical, ALL model elements are independent and can be reused in any NeuroML models. See the full specification here: https://docs.neuroml.org/Userdocs/Specification.html 6/x
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You can also create new model elements if existing ones aren’t enough AND because #NeuroML is designed to be modular and hierarchical, ALL model elements are independent and can be reused in any NeuroML models. See the full specification here: https://docs.neuroml.org/Userdocs/Specification.html 6/x